Compare the Top Software Development Analytics Tools that integrate with GitLab as of September 2025 - Page 2

This a list of Software Development Analytics tools that integrate with GitLab. Use the filters on the left to add additional filters for products that have integrations with GitLab. View the products that work with GitLab in the table below.

  • 1
    Optibot

    Optibot

    Optimal AI

    Optimal AI’s flagship product, Optibot, is an on-demand AI agentic code reviewer that installs in GitHub, GitLab, or Bitbucket in under a minute to automatically catch bugs, security vulnerabilities, hard-coded credentials, and hidden risks, without ever storing your data or using it for model training. By building memory of your codebase and context-rich precision, Optibot reduces pull-request review times by up to 50 percent, frees senior engineers from repetitive checks, and boosts overall team throughput with real-time dashboards that surface cycle times, review performance, and productivity metrics. Beyond automated PR reviews, Optibot offers customizable agents for codebase complexity analysis, predictive maintenance, advanced bug detection, story-point estimation, and regulatory-change management, as well as integrations with JIRA for contextual reviews. Security-focused agents proactively scan for misconfigurations, race conditions, and vulnerabilities.
  • 2
    ServiceNow DevOps
    Expand DevOps success across the enterprise. Take the risk out of going fast and minimize friction to bring IT operations and development together. Simplify and scale enterprise DevOps while minimizing the risks of moving at speed. Connect teams to ServiceNow and speed up software development. Automate administrative tasks and bring ops and dev teams together. Extend DevOps value to quickly reach your business goals. Add connectivity, visibility, and traceability to existing toolchains, and drive collaboration with integrations. Automate change creation and approvals so you can deliver innovation at the pace your business needs, without compromising quality. Develop and deploy at speed while reducing risk. Automatically gather and connect information from the DevOps toolchain for app and infrastructure changes and maintain an audit trail, all in one place. Connect development tools to change management for automatic ticketing and approval.